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include: Data analysis, statistical modelling, and algorithm development to support work with the Department of Defence. Develop code in R and Python. Provide statistical, mathematical, and optimisation
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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emissions”, which is funded by the Trailblazer for Renewables and Clean Energy (TRaCE) and industry partner, CounterCurrent Pty Ltd. The project builds upon the prototype ship route optimization algorithm
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the construction of PRS and enhance disease prediction. Students will gain experience in: Statistical genetics and GWAS methodology Machine learning approaches for high-dimensional data Algorithm development and
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2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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device discovery and performance optimisation. The role involves applying computational methods such as topology optimisation, adjoint techniques, and data-driven modelling to identify high-performance
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Research Associate in Logical Foundations of Planning. In this role you will work closely with Dr Rubin on research projects, and contribute to the collegial culture of the Sydney Algorithms and Computing
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of masculinity, especially in relation to younger male audiences. The successful applicant may explore such questions as: What drives engagement with manosphere communities? How do algorithmic systems and platform
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algorithms for resource-efficient hydroponics and evidence-based frameworks for integrating green space exposure for improved student wellbeing. This project will potentially enhance urban food resilience
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions